Triple
T10043932
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gipuzkoa |
E205362
|
entity |
| Predicate | hasCity |
P316
|
FINISHED |
| Object | Irun |
E297676
|
NE FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Irun | Statement: [Gipuzkoa, hasCity, Irun]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Irun Context triple: [Gipuzkoa, hasCity, Irun]
-
A.
Irun
chosen
Irun is a Spanish border town in the Basque Country, strategically located near France and historically significant as a key crossing and diplomatic site between the two countries.
-
B.
Santurtzi
Santurtzi is a coastal town and municipality in the Greater Bilbao area of northern Spain, known for its fishing port and maritime traditions.
-
C.
Plentzia
Plentzia is a coastal town and popular beachside resort in the province of Biscay in Spain’s Basque Country.
-
D.
Portugalete
Portugalete is a historic port town in northern Spain’s Basque Country, known for its UNESCO-listed Vizcaya Bridge spanning the Nervión River.
-
E.
Hondarribia
Hondarribia is a historic coastal town in Spain’s Basque Country, known for its well-preserved old quarter, fishing port, and location on the border with France.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69ca834f70e88190b2d74828b7767ec1 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cdcf61b3e08190b69bcf67b6a95342 |
completed | April 2, 2026, 2:07 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d282801c548190b6031bdde17f6e14 |
completed | April 5, 2026, 3:40 p.m. |
Created at: March 30, 2026, 8:55 p.m.